library(ggplot2)
str(iris)
## 'data.frame': 150 obs. of 5 variables:
## $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
## $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
## $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
## $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
## $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
Anteriormente cargamos una base desde R, ahora realizaremos algunos descriptivos:
grafica<-ggplot(iris,aes(Sepal.Length,Sepal.Width, color=Species))
grafica<- grafica + geom_point()
grafica
grafica<-grafica + geom_boxplot()+geom_point(alpha=0.3)
grafica<-grafica + facet_grid(.~Species)
grafica
library(GGally)
## Warning: package 'GGally' was built under R version 4.0.5
## Registered S3 method overwritten by 'GGally':
## method from
## +.gg ggplot2
grafica_CP<-ggparcoord(iris,columns = c(1:4), groupColumn ="Species")
grafica_CP